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Why You Should Migrate Away From AngularJS

Overview

With the legacy experience of the Angular Javascript framework, web developers have grown to lean on the framework as a go-to tool. Today, we wanted to go through a few of the reasons why you should look to migrate your existing AngularJS projects (any Angular release version under 2) to a more modern and actively supported framework (or library).

Even though AngularJS is a fantastic piece of technology that surely was top of its class when it came out (October 2010) and despite the fact that we’ve enjoyed working with its successor Angular.io (also known as Angular 2+), AngularJS has become outdated (EOL December 2021), and a risk to your company in a variety of different ways.

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@2017, Scott Adams, Inc.

The framework has reached end of support (Version Support Status). This means that it has become read-only mode, therefore it will not be updated further. The framework has not been developed for over a year now (Release 1.8.2 happened in October 2020), and even though extended support was supposed to end mid-2021, it was extended to December 2021 due to the global pandemic. Here’s a blog post by the Angular team regarding discontinued long term support.

To add some support to the point, Angular was created and mainly maintained by Google. Google recognized the shortcomings of AngularJS, and completely rewrote it to release Angular.io. AngularJS only made it to version 1.8.3, however Angular.io has already made it to major version 13 (current at time of writing), with many more versions to come.

What Could Be Making You Hold On To Your Existing AngularJS Apps

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Trust us, we’ve been there. You have a perfectly functioning application which needs little maintenance, and you have engineers who know it in and out already. Why invest a part of your budget in fixing something that’s not broken? Why bring in new people that don’t know the product? Why push your engineers to do something new/different to what they’ve been doing?

The Reasons

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  • Technology: As stated earlier, AngularJS is outdated. This means that in its feature-set, performance, and just keeping up with latest developments in Javascript and the web browsers, AngularJS has clearly lagged behind, mainly due to the fact that it has been in maintenance mode and not actively developed on for years. If you stay on this framework, you won’t take advantage of the rapidly evolving web world, and the evolving smart devices, and their new features.
  • Support: As the framework is no longer maintained, any new issues or limitations you encounter will not only lack an answer/help from the AngularJS team (again, not supported anymore), you most probably also won’t have a huge community online to help you with it, like you would have with any modern framework. This could mean a longer time to fix issues that come up in your application, and a rough experience for your engineers and users.
  • Security: Perhaps the biggest reason why you should move away from AngularJS. Like any unsupported package out there, you won’t be protected when any new security exploits are identified, be it within the framework itself, or any of its thousands of dependencies and indirect dependencies (yes, your app can be exploited by vulnerabilities in the dependencies of the dependencies of AngularJS which is your app’s dependency… you get the point). Usually when something like this happens in an actively supported package, a fix will be published quite swiftly in response to it, or any dependency that includes the vulnerability will be updated with a newer version.
  • Talent: Not only do you want to provide the best possible experience for your users, but also for your app engineers. When you are trying to retain or expand your software team, AngularJS will weigh on any engineer’s decision. Engineers will want to work with quality, cutting edge technology. It is hard for engineers to get or even stay excited about working on a framework that has reached end of life. It will be much easier for you to retain and hire engineers if your apps run on modern technologies and following best practices and industry trends. I cannot stress how much easier it will be to fill open positions when your tech stack is attractive for the engineers. You can also think about what will happen once you actually find someone willing to do the job on your legacy system, they will play hard to get and you’ll end up paying more for an engineer that is probably not up to date on industry standards.
  • Business: For current technologies, the help you will get from the online community is massive, which speeds up the time it takes to fix and implement new features, and to resolve critical situations that may arise. Not only your engineers will be happier and more engaged in what they are doing, it also impacts your branding. Are you a company that invests in and works with the latest and greatest? Or a company that settles with whatever is there?

Closing Thoughts

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With confidence, we have seen the impact that migrating legacy applications has had for many of our customers, and it is massive. Not only do applications come alive and look and feel more modern, but engineers come to work in a better mood and eager to get things done, and a true engineering culture is fostered.

A Comprehensive Introduction To Swift Package Manager

Introduction

The Swift Package Manager (SwiftPM) is Apple’s tool for managing package dependencies for Swift application development. SwiftPM has been an integrated part of Swift since v3.0.

So, what are Packages? Packages contain reusable code or other resources stored in repositories that your application needs to provide a feature or function. Some examples include, but are not limited to, the fonts and color scheme for your app, a library that provides access to a web resource, a file with images required by your application. Other examples are the APIs and Frameworks that add functionality to your app and simplify your coding tasks.

Let’s work together and breakdown a high-level overview of basic SwiftPM usage and its associated features.

What Do Package Managers Bring To The Table?

Package Managers give developers a way to control which packages and which versions of those packages that the project will consume.

Other features include:

  • Allows easy use of light-weight, reusable libraries
  • Reduces code duplication
  • Supports development best practices by simplifying and supporting modular coding (easy module/package creation)

While it is possible to manually manage dependencies in a project, it isn’t practical for anything but the smallest of applications. Best practices fall on the side of using a package manager to handle this function automatically.

SwiftPM supports Swift 3+ and XCode 8+. Since Swift 5 and Xcode 11, SwiftPM has had cross-platform support for iOS, macOS, and tvOS.

Are There SwiftPM Alternatives?

There are two mainstream alternatives, CocoaPods and Carthage. Both are third-party tools requiring installation and much configuration before use.

CocoaPods

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CocoaPods (2011) – Supports Swift 5+ and Xcode 3.11+ – Mature and stable. A centralized, easy-to-use command-line tool for package dependency management and integration into the application. CocoaPods is written in Ruby.

However, Cocoapods lacks direct control over project configuration and is basically a blackbox. CocoaPods also experiences random build failures that can’t be explained. Resolving these often involves removing and reinstalling CocoaPod dependencies from the project, clearing caches, and completely rebuilding the entire project. These steps can add a significant amount of time to the development process, especially on large projects.

Each CocoaPod dependency must have a “Podspec” file to define the metadata for that dependency. These files are typically uploaded to a different repository from the dependency itself. A “Podfile” within the app project will include a reference to this repository, and CocoaPods will use the information in this Podfile to fetch and install all of the dependencies for the app project. 

Carthage

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Carthage (2014) – A decentralized command-line tool for dependency management. Developers have full project control and must manually provide all package and dependency information. Carthage pulls the packages the developer specifies.Configuration requires much more manual work than CocoaPods and is somewhat complicated.

Using SwiftPM

SwiftPM has many advantages over Carthage and CocoaPods. Foremost, SwiftPM is a native Apple tool integrated into Swift. Other advantages include a quick and simple configuration, easier control over packages and their sub-dependencies, and a GUI built into Xcode for managing package configurations. Each package’s metadata is defined in a “Package.swift” file, which  resides in the same repository as the package source files. 

Package Resolution

With the Package dependencies configured in the SwiftPM GUI, Xcode will download the packages and resolve dependencies at build time with no further developer interaction.

When setting dependencies, you have the following options:

  • By Version: Next Version, Up to next minor, Range, or a specific commit
  • Branch (Specify)
  • Commit(Specify)

Adding A Package To Your Project

  1. Swift Packages> Add Package Dependency 
  2. On the “Choose Package Repository” dialog, enter the desired Repository.
  3. Click Next. 
  4. On the “Choose Package Options” dialog, set the dependency rules (Versions, Branches, Commits). 
  5. Click Next. Xcode now fetches the dependency.
  6. On the “Add Package to YourPrjName dialog,” ensure that the relevant packages are checked and the proper Target is selected in the Add to Target cell.
  7. Click Finish.

Your package now appears in the Navigator under Swift Package Dependencies. Note that SwiftPM can reference both local and remote packages.

Create A Module And Add A Local Package With SwiftPM

SwiftPM simplifies the process of modularizing your code and adding it as a package to a local or external repository. This section will briefly describe the process of creating a module and adding it to a local repository.

  1. Identify a self-contained portion of code or another resource that is suitable for use in a module.
  2. Create a new file: Files > New Package. Name the package accordingly and add it to your application using the same dialog.
  3. Copy the code or resource to the new file.
  4. Delete the existing code or resource from the app
  5. Add the new package to the Application Target. In “Application Project Settings,” add the new package under Frameworks and Libraries.
  6. In the Package code, define the platforms and versions where this Package works.
  7. In the Application’s code files, import the new package into every file where its code or where its resources are used. 

If desired, you could upload the new Package to an external repository for use by developers outside your organization.

Additionally, SwiftPM will allow you to create and use binary packages. Binary packages permit developers to distribute libraries and frameworks without also distributing their source code.

Package Distribution

You can use SwiftPM to distribute resources, in addition to frameworks and libraries. SwiftPM also has built-in support for Apple’s  DocC Documentation format, which makes it easy to build robust interactive documentation files and tutorials. 

The Future

SwiftPM is a mature product still under active development to improve and add new features. Usage stats currently show it being about equal in popularity with CocoaPods. However, since SwiftPM is a native tool that requires no additional work to begin using, its future is more sure than that of CocoaPods or Carthage.

Happy coding!

To learn more about Swift Package Manager as well as its influence in mobile development and to experience Andrew Balmer’s full Lightning Talk session, watch here.

State Management: Redux vs. MobX

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Redux was developed in 2015 by Abramhov and Clark based on concepts used in Facebook’s Flux architecture. MobX also began in 2015 and was originally called Mooservable by the dev team. It became MobX with the 2.0 release on 26 Feb 2016.

There are three parts to state management:

  • The State, which is the source of truth for your application’s State.
  • The View, which is a rendering of the current State.
  • The Action, which is something that triggers a State change.

Bare Javascript passes State via property trees. A function needing State obtains the information via property drilling. Depending on a function’s layer depth, property drilling can introduce significant overhead.

Using State Management introduces a structured workflow in the application and makes obtaining the application State trivial.

Redux

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Overview

Redux manages application state in a centralized repository. There is a single state in the application and it is immutable. It can’t be modified by the application. This is similar to how State is managed in Flux. Redux is designed to be a predictable container for application state.

Redux combines Flux and Functional Programming and uses an immutable State as a single, predictable, source of truth in the application stored in a Javascript object.

Implementation

Using Redux requires a considerable amount of ramp-up work. There is a great deal of boilerplate code, configuration, and to take advantage of some capabilities, developers must follow explicit coding patterns. 

Workflow

There are three main workflow components:

  • The UI: The UI passes the user’s activity, or their Action, to the Event Handler. 
  • The Event or Action Handler/Dispatcher: The Event Handler’s Dispatcher then notifies the Store of the Action. 
  • The Store with Reducers and the State: The Store clones a copy of the current State for the Reducers to act on based on the user’s Action. On completion, the Store passes the new state to the UI. The updated State will trigger a refresh of any component accessing that State.

The State’s Reducers are responsible for updating the State of the Store. They are pure functions that analyze the Store’s recursive data structure. They do not mutate the current state, nor do they make external API calls. Using a combining function, they recombine the results.of their recursive processing into their constituent parts, thereby building a return value.

MobX

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Overview

MobX was created in ES5 Javascript and follows Functional Reactive Programming patterns and prevents an inconsistent State by automatically performing all derivations. MobX’s main difference from Javascript and Redux are that State is not immutable and your application can automatically store different observable data types into different MobX Stores.

MobX uses abstraction to hide much of the background operation and reduce the boilerplate code requirement. MobX directly modifies its current state(s) without cloning beforehand.

Implementation

MobX is implicit by nature, and requires little boilerplate code. After implementing State storage in the desired data structure (plain, arrays, objects, etc.), set those properties that will change over time to observable for MobX tracking.

Workflow

There are four main workflow components:

  • Actions
  • Observable State
  • Derivations (Computed Values) 
  • Reactions (or Side Effects)

Events invoke Actions. Those actions can originate with the user or the application, and are the only thing that can modify the Observable State. MobX propagates any changes to the Observable State to all Derivations and Reactions. 

Deciding On A State Manager

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Types of Derivations could be computation, serialization,  rendering, etc. and example Rendering side-effects are I/O activity, DOM updating, network activity. etc.

  • Application Architecture – Is the architecture Flux/Functional Reactive Programming (Redux) or more OOP (MobX)?
  • Ramp-up – Time until productive
  • Boilerplate – Redux requires extensive boilerplate setup, MobX has very little boilerplate
  • Learning Curve – Steeper: Redux requires developers to follow explicit coding patterns to access capabilities. Flatter: MobX is more implicit and doesn’t require extra tooling. Setup is adding a class and setting Observers, Actions, and Compute Values.
  • State Stores – Redux usually maintains a single immutable State even though it is possible to set up multiple Stores in Redux. It is a cumbersome process. MobX makes it much simpler to have multiple Stores and it uses changeable States.
  • Purity – Redux uses pure functions and does not allow State modification. MobX allows mutable States. 
  • Scalability – Redux’s pure functions make code scaling much simpler and predictable.  MobX’s workflow does not include many pure functions, making testing not as straightforward, and as the application grows it becomes more difficult to determine what exactly should an output be, given an input.
  • Performance – Redux can suffer performance degradation from very frequent updates to its single State Store. MobX, on the other hand, with support for multiple Stores can better support frequent State updates, such as real-time updates on market pricing for a trading platform.
  • Community Support and Tools – Redux has a much larger community and more widely tested tools. MobX has a smaller community and fewer tools.
  • Debugging – Redux has a single source of truth and uses a pure Store making its output predictable and repeatable. Redux has better debugging tools, including ReduxDevTools and the Time Traveling Debugger (provides State history). MobX with its implicit nature, multiple States, and code abstraction can be very difficult to troubleshoot and determine the proper output from a given input. All State updates happen behind the scenes and do not offer any history. MobX also suffers from fewer robust tools

To learn more about State Management and to experience Eric Marcatoma’s full Lightning Talk session, watch here.

A Comprehensive Overview Of Apache Kafka

Overview

Apache Kafka is an open-source, distributed event-streaming platform, or message queuing system. Kafka provides real-time data analysis that runs on servers and clients, either locally or in the cloud, on Linux, Windows, or Mac platforms. Kafka’s messages are persisted on disk and replicated within the cluster to prevent data loss.

Some typical Kafka use cases are stream processing, log aggregation, data ingestion to Spark or Hadoop, error recovery, etc.

In Kyle Pollack’s Lightning Talk session, we will breaking down the following topics:

  • Overview
  • Basic Architecture
  • Benefits
  • Advantages Of Apache Kafka
  • Use Cases For Kafka
  • Closing Thoughts

Basic Architecture

There are four main components:

  • The Producer – The client apps that write their Events, or Topics, to the Kafka queue
  • The Topic – Topics are the Events that Kafka stores. They are multi-producer, multi-subscriber (Consumer), decoupled, and can have any number of subscribers or none at all
  • The Broker – Each Broker is a Kafka server that organizes and sequentially stores incoming Events by Topic and stores them on disk in Segmented Partitions
  • Consumer – The apps that subscribe to Kafka Topics

A Kafka cluster is made of one or more servers, called Brokers. Topics live in one or more Partitions on one or more Brokers. 

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As Producers write events to the Topic queues, the Brokers store the message in Segments within their Partitions according to Topic ID. Kafka always writes Event messages into any Partition configured for that Topic ID, on any Broker. Because the save is spread across all Brokers that service that Topic ID and the data is written non-sequentially into Segments within those Partitions, there is no single Broker or Partition that contains the full, sequential list of Events for that Topic. Each Partition only holds a subset of Event records in its Segments.

Kafka Producers

Producers are client applications writing Topics to the Kafka Cluster. 

Kafka Brokers

Brokers receive event streams from Producers and store them sequentially by Topic ID in one or more Partitions across one or more Brokers. Each Broker can handle many Partitions in its storage. All received messages are stored with an Offset ID.

For example, when receiving three events on a given Broker having three partitions, the Broker could store those Events to Partitions in this order 2, 1, and 3, while another Broker in the cluster could store them to 3, 2, and1. Because the writes to Partitions within Brokers are ad hoc, the individual Segments in any one Partition do not contain a sequential string of events. However, on retrieval, Kafka provides those records in their correct order by using their Broker-assigned Offset ID. 

Additionally, you can configure the Event retention as suitable for the application.

The Topic

Kafka organizes events by Topic and may store a Topic in multiple Partitions on multiple Brokers. This provides reliability and also enhances performance by avoiding the I/O bottlenecks that using a single Broker might entail, by spreading the store action across multiple computers.Topics are assigned Topic IDs.

Kafka Consumers

Consumers are apps that read Topic information from Kafka queues. Consumers automatically retrieve new messages as they arrive in the queue.

Benefits

  • I/O Performance – Non-sequentially writing Event records to multiple Brokers/Partitions avoids I/O bottlenecks that could occur if they were written sequentially into a single Partition.
  • Scalability – Kafka scales horizontally by increasing the number of Brokers in the cluster.
  • Data Redundancy – You can configure Kafka to write each event to multiple brokers.
  • High-Concurrency, low-latency, high-throughput
  • Fault-Tolerant
  • Message Broker Capabilities
  • Batch Handling Capability (providing ETL-like functionality)
  • Persistent by default
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Advantages Of Apache Kafka

Real-time data analysis provides faster insights into your data allowing faster response times. For example, to make predictions about what should be stocked, promoted, or pulled from the shelves, based on the most up-to-date information possible.

Even on very large systems, Kafka operates very quickly. You can stream all data in real time to make decisions based on current information, rather than waiting until the data has been obtained, aggregated, and analyzed, which is the case for many companies with large datasets.

Kafka is written in Java, so it is easier to learn.

Use Cases For Kafka

Kafka is used for: 

  • Stream processing
  • Website activity tracking
  • Metrics collection and monitoring
  • Log aggregation
  • Real-time analytics
  • Common Extensibility Platform support (CEP)
  • Ingesting data into Spark
  • Ingesting data into Hadoop
  • Command Query Responsibility Segregation support (CQRS)
  • Replay messages
  • Error recovery
  • Guaranteed distributed commit log for in-memory computing (microservices)
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Closing Thoughts

Apache Kafka is a distributed streaming platform capable of handling trillions of events a day. Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and is able to process streams of events.

Happy coding! To learn more about the implementation of Apache Kafka and to experience Kyle Pollack’s full Lightning Talk session, watch here.

Configuration Automation Tools: Orchestrating Successful Deployment

Overview

In the modern technology field, buzz words come and go. One day databases are being discussed as the new best thing in the world of Agile Development only for the next, to recenter the importance of programming languages, frameworks, and methodologies.

But, one unchanging aspect of this lifecycle are the people who are an irreplaceable part of the creation, demise, and popularity of any given technology. This modern day world calls for close to perfection execution, of which individuals cannot always account for.

How does this call for flawless mechanisms affect the developers and creators, when called to building perfect products? 

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Automation is the technology by which a process or procedure is performed with minimal human interference through the use of technological or mechanical devices. It is the technique of making a process or a system operate automatically. Automation crosses all functions within almost every industry from installation, maintenance, manufacturing, marketing, sales, medicine, design, procurement, management, etc. Automation has revolutionized those areas in which it has been introduced, and there is scarcely an aspect of modern life that has been unaffected by it.

Automation provides a number of high-level advantages to every aspect of practice, making it an important process to have a working knowledge of:

  • Overview
  • Removing Human Error
  • Steps To Deploy
  • No Hidden Knowledge
  • Popular Implementation Technology Options
  • Closing Thoughts

Removing Human Error

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Automation, automation, more automation – and of course throw in some orchestration deployment and configuration management. Leaving the buzz words behind the “new technology frontier”, is removing human error. This translates to removing the dependencies of tribal knowledge when it pertains to application and system administration job duties.

Those job duties are performed in a repetitive fashion. The job duties are usually consolidated into various custom scripts, leaving a lot of those scripted actions with the ability to be boxed up and reused over and over again.

Steps To Deployment

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The primary cornerstones to prepping an automation deployment for an individual server, follow a near identical framework:

  1. Download and Install the various languages and/or framework libraries the application usages
  2. Download, Install, and Configure the Web server that the application will use
  3. Download, Install, and Configure the Database that the application will use
  4. Test to see if all the steps are installed and configured correctly

Running application tests ensure that the deployment is running as expected. Testing is crucial to the successful run of the deployment.

For example, something simplistic but highly catastrophic is the possibility of a typo. Consider the case of the following code:

  • cd /var/ect/ansible; rm -rf *

but instead a developer forgot the cd execute command and only ran

  • rm -rf /

In this case, the whole drive is at risk to be erased – which can and will make or break a product.

Taking time to ensure the correct command executions, can determine the overall success of a system.

No Hidden Knowledge

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Looking back on the steps to deploy an application to an environment, there are inevitably a number of small intermediary steps involved. A leader’s priority should be the revelation of each one of these unique sub-categories and effectively bringing all engineers around them up to speed on the associated best practices.

The information should be a source of truth maintained in a repository database, that is easy and intuitive to leverage

Popular Implementation Technology Options

What does a source of truth entail? Can one not skip the documentation of information and go straight into the execution of the steps onto a given system? Or create scripts to reconfigure the application if there was ever a need to? Those questions have been proposed several times and solutions have been formulated several times into the form of extensive and comprehensive build tools/frameworks.

These tools are used throughout the industry to solve the problem of orchestrated development, configuration automation, and management. 

Furthermore, DevOps tools such as: Puppet, Chef, and Ansible are well matured automation/orchestration tools. Each tool will provide enough architecture flexibility to virtually handle any use case presented.

Puppet

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Puppet was the first widely used Configuration Automation and Orchestration software dating back to its initial release in 2005. Puppet uses the Master and Slave paradigm to control X amount of machines. The Ruby language is the script language say, for executing commands in a destination environment. 

The “Puppet Agents” (Slave) are modularized distinct components to be deployed to a server. This can be used for the creation of the server (ie. web server, database, application) in its destination environment. The “Puppet Enterprise” (Master) is comprised of all the inner workings to manage, secure, and organize agents.

Puppet Documentation

Chef

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Chef is somewhat similar to Puppet. The core language used within Chef’s abstract module components is Ruby. Chef has several layers of management for individual infrastructure automation needs. The Chef workstation is the primary area for managing the various Chef components. The Chef components consist of “cookbooks”, “recipes”, and “nodes”.

“Recipes” are collections of configurations for a given system, virtual, bare metal, or cloud environment. Chef calls those different environments “nodes”. “Cookbooks” contains “recipes” and other configurations for application deployment and control mechanisms for the different Chef clients.

Chef Documentation

Ansible

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Ansible is the newest mainstream automation/configuration management tool on the market. Therefore, Ansible uses more modern programming languages and configurations concepts and tools. Python is the programming language used in this framework. One of the modern and fastest up-and-coming template languages is YAML. YAML is programming language agnostic and is a subset of the ever so popular JSON. YAML is used within Ansible to describe an Ansible Playbook. 

Ansible Playbook contains the steps that need to be executed on a given system. Once the Ansible Playbook is intact, configuration or further manipulation of the host can be executed through Ansible API – which is implemented in Python. There are several other components within Ansible technology such as modules, plugins, and inventory. 

Ansible Documentation

Closing Thoughts

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After covering a couple of the Configuration Automation and Development tools on the market, one can see a vast amount of flexibility available in eliminating those repeatable steps from human error. This software’s framework promotes reusable software within an organization – which is the most viable. The ability to scale an application development environment and environmental infrastructure is critical. 

The learning curve may be deeper than using plain bash scripts, but the structure and integrity of using a proven tool and ease of maintenance outweigh the learning curve.